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First, the genetic algorithm is employed to search and optimize the feasible trajectories under the mechanism constraint of the MPR. Then the trajectory tracking controller is designed to make the tracked vehicles move cooperatively and track a trajectory asymptotically. Finally, simulations and experiments are carried out to verify the effectiveness of the solution.<\/jats:p>","DOI":"10.1017\/s0263574720000880","type":"journal-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T09:24:24Z","timestamp":1599816264000},"page":"1037-1050","source":"Crossref","is-referenced-by-count":17,"title":["Motion Control and Trajectory Planning for Obstacle Avoidance of the Mobile Parallel Robot Driven by Three Tracked Vehicles"],"prefix":"10.1017","volume":"39","author":[{"given":"Shuzhan","family":"Shentu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7049-2010","authenticated-orcid":false,"given":"Fugui","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin-Jun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2020,9,11]]},"reference":[{"key":"S0263574720000880_ref34","volume-title":"Applied Geometry for Computer Graphics and CAD","author":"Marsh","year":"2006"},{"key":"S0263574720000880_ref36","first-page":"263","article-title":"An obstacle avoidance trajectory planning scheme for space manipulators based on genetic algorithm","volume":"36","author":"Qi","year":"2014","journal-title":"Robot"},{"key":"S0263574720000880_ref22","first-page":"1245","article-title":"Optimal trajectory-planning based on genetic algorithm for multi-robot system.","volume":"27","author":"Gan","year":"2010","journal-title":"Cont. 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